Ah yes you’re right
Ah yes you’re right
Could you just add *.lnk?
You don’t run it clientside
There’s no inexpensive functional anticheat system ftfy
Nice new etho video
Nuclear is green
I understand that this comment isn’t helpful, but you’re gonna save yourself a lot of headaches by just transitioning to DaVinci Resolve.
I like the bundle changes, but we need a major rework of the inventory management system
It’s getting pretty easy:
https://github.com/hacksider/Deep-Live-Cam
I hqd this set this up in about 8 minutes on a moderate gaming PC. It’s pretty convincing
This is desperately needed.
I saw sponsorblock-ml and am playing with it using whisperx for transcript/timestamps and ffmpeg for cutting out the timestamps that were detected by sponsorblock-ml then reserving that audio as an rss feed.
It’s not great so far though
I’ve been looking into sponsorblock-ml for an alternative approach
I respectfully disagree, grayjay is great, but in my experience it has been buggy, crashes occasionally, and does not provide an acceptable layout for foldables.
Revanced has been flawless.
I will keep greyjay installed for the inevitable day that revanced dies… but until then grayjay is not the best option for me personally.
I’m running Debian bookworm on my framework 16, I struggled a lot getting everything working properly so I’m not sure I would recommend it just yet
I’m running 3.1 8b as we speak via ollama totally offline and gave info to nobody.
Well, perceived damage anyway. I can’t speak to how IP owners have been effected by LLMs, and I don’t believe it would be easy to quantify.
From what I understand the next rounds of ai are being trained on further refined versions of the same datasets and supplemented with synthetic data.
The damage to existing copyrighted content is already done.
Source: I’m a random internet user
No shade on you, dude… but if it’s not available in a public repo where people with more experience than me have the opportunity to validate and review it… then I’m really really really not interested in downloading or running it on my machine.
I have trust issues with cloudflare yes, but I also have trust issues with random zip files from strangers’ cloud drives.
I appreciate your helpful attitude anyway 🙂
Does your tool have a public repo I can take a look at?
Nah you just do heavy statistical analysis on data that already gets streamed from the client.
Here’s a better explanation than I could provide:
https://www.i3d.net/ban-or-not-comparing-server-client-side-anti-cheat-solutions/
What they could do is set a player surveillance system that tracks game by game averages on hundreds of different metrics like critical hit accuracy and prehit mouse acceleration and compares them to a baseline and any time any player stat moves past the average the system will increase their scrutiny level and perform more advanced analysis on them.
Another thing that could happen is the server could submit ghost data to suspicious clients and honeypot the cheat software into reacting to it.
You could also train an ML model on your game to watch highly suspicious players.